John Aberdeen

2.6k citations
47 papers · 1.8k indexed · h-index 20

John Aberdeen

45 papers receiving 1.6k citations

Peers

John Aberdeen
Comparison fields: 5 of 111
  • Artificial Intelligence 1.3k
  • Health Information Management 125
  • Health Informatics 21
  • Cognitive Neuroscience 243
  • Management Science and Operations Research 144
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Citations per field
00.5×10×12.5×
Richard Tobin · 1×
Citations per year

Countries citing papers authored by John Aberdeen

Since Specialization
Citations

This map shows the geographic impact of John Aberdeen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Aberdeen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Aberdeen more than expected).

Fields of papers citing papers by John Aberdeen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Aberdeen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Aberdeen. The network helps show where John Aberdeen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John Aberdeen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Aberdeen Line = papers co-authored together John Aberdeen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 202055
3 202015
4 20193
5 20177
6 201613
7 201525
8 201415
9 201320
10 201035
11 20104
12 2010109
13
Normalization for Automated Metrics: English and Arabic Speech Translation
20096
14
Applying Automated Metrics to Speech Translation Dialogs.
20089
15 2007100
16
Evaluation for Darpa Communicator Spoken Dialogue Systems
200022
17
Alembic Workbench corpus developrnent tool.
19981
18
Information Retrieval and Trainable Natural Language Processing.
19961
19 199188
20 1988210

About John Aberdeen

John Aberdeen is a scholar working on Health Information Management, Artificial Intelligence, Health Informatics, Management Science and Operations Research and Toxicology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers), Biomedical Text Mining and Ontologies (11 papers), Speech and dialogue systems (10 papers), Electronic Health Records Systems (9 papers), Semantic Web and Ontologies (6 papers), Multi-Agent Systems and Negotiation (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Health Information Management (125 citations), Health Informatics (21 citations), Cognitive Neuroscience (243 citations) and Management Science and Operations Research (144 citations). John Aberdeen has collaborated with scholars based in United States, Netherlands and Türkiye. Frequent co-authors include Lynette Hirschman, Marc Vilain, John D. Burger, Dennis Connolly, Elizabeth A.L. Stine, Arthur Wingfield, Cindy J. Lahar, Ben Wellner, Bradley Malin and Samuel Bayer. Their work appears in journals such as Journal of the American Medical Informatics Association, Language Resources and Evaluation, Journal of Biomedical Informatics, International Journal of Medical Informatics and Database.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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